Triple
T21785250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voeren |
E537818
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sint-Pieters-Voeren
Sint-Pieters-Voeren is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium.
|
E1544415
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sint-Pieters-Voeren | Statement: [Voeren, contains, Sint-Pieters-Voeren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sint-Pieters-Voeren Context triple: [Voeren, contains, Sint-Pieters-Voeren]
-
A.
Sint-Martens-Voeren
Sint-Martens-Voeren is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium, known for its rural landscape and bilingual Dutch-French context.
-
B.
Vilvoorde
Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
-
C.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
D.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
-
E.
Beveren
Beveren is a Belgian football club known for developing talented players, including future international stars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sint-Pieters-Voeren Triple: [Voeren, contains, Sint-Pieters-Voeren]
Generated description
Sint-Pieters-Voeren is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sint-Pieters-Voeren Target entity description: Sint-Pieters-Voeren is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium.
-
A.
Sint-Martens-Voeren
Sint-Martens-Voeren is a village in the Flemish municipality of Voeren in the province of Limburg, Belgium, known for its rural landscape and bilingual Dutch-French context.
-
B.
Vilvoorde
Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
-
C.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
D.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
-
E.
Beveren
Beveren is a Belgian football club known for developing talented players, including future international stars.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d3dd12c8190805f1fb62fb603a2 |
completed | May 18, 2026, 4:24 p.m. |
| NEDg | Description generation | batch_6a0b3e5330d88190a3ca4ea190ed80f8 |
completed | May 18, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3f1ea4308190bbd5c7f3a9495f5f |
completed | May 18, 2026, 4:32 p.m. |
Created at: April 16, 2026, 6:52 p.m.